I am Hao Zhang, a Ph.D. candidate in Traffic Information Engineering and Control at Shanghai Maritime University and an engineer at the CMA Meteorological Routeing Centre of the China Meteorological Administration. My work sits at the intersection of marine meteorology and intelligent navigation. I develop weather-aware route-optimization methods that help ships avoid tropical cyclones, limit speed loss in heavy seas, and sail more safely and efficiently — from busy commercial lanes to the emerging Arctic passages. I am equally at home turning these methods into reliable, day-to-day forecasting services for the shipping industry.

Research Interests

• Ship weather routeing and route optimization
• Tropical cyclone avoidance for ships
• Sailing-risk assessment and navigation safety
• Ship speed-loss prediction from marine-meteorological data
• Marine meteorological services for shipping
• Arctic navigation risk forecasting

Education

• Deputy Chief, Ship Weather Routeing Section — CMA Meteorological Routeing Centre, China Meteorological Administration · 2020 – Present
• Ph.D., Traffic Information Engineering and Control — Shanghai Maritime University · 2024.09 – Present
  Ship weather routeing and navigation safety.
• M.Eng., Traffic Information Engineering and Control — Shanghai Maritime University · 2017.09 – 2020.07
  Marine sensor networks and target localization.
• B.Eng., Navigation Technology — Shanghai Maritime University · 2013.09 – 2017.07
  Ship navigation and safety.

Research Projects

Principal Investigator

• Arctic navigation risk forecasting and ship route planning — High-Quality Development Project, CMA Meteorological Routeing Centre · 2025.10 – Present
• Ship speed-loss prediction from marine-meteorological big data — High-Quality Development Project, CMA Meteorological Routeing Centre · 2024.06 – 2025.06
• Optimal route sets via multi-objective evolutionary algorithms — Youth Fund Project, CMA Meteorological Routeing Centre · 2022.01 – 2023.01

Core Member

• Key technologies for ship weather routeing (2023YFC3107900) — National Key R&D Program of China · 2024.01 – Present
• Integration and demonstration of marine-meteorological products (2022YFC3004200) — National Key R&D Program of China · 2023.01 – 2025.12
• National ship weather routeing sub-systems — China Marine Engineering, CMA · 2022.05 – 2025.12
• Real-time monitoring and autonomous information service for marine meteorology (2019YFC1510105) — National Key R&D Program of China · 2021.05 – 2024.05

Publications

1. Zhang, H., Niu, G., Liu, T., et al. (2025). Status quo and future prospects of China’s weather routing services for ocean-going business vessels. Oceans, 6(3). doi:10.3390/oceans6030038
2. Mei, X., Wu, H., Xian, J., Chen, B., Zhang, H., & Liu, X. (2019). A robust, non-cooperative localization algorithm in ocean sensor networks. Sensors, 19(12), 2708. doi:10.3390/s19122708
3. Zhang Z , Zhang C , Zhang H ,et al.Analyses of Ship A avoiding the influence caused by typhoon “Doksuri”[J]. Frontiers in Marine Science, 2025, 12(12):1661860.
4. F. Shaodong, Y. Xiaochuan, J. Jianxiong and Z. Hao, A Study on Cybersecurity Risks Arising from the Application of Meteorological Navigation on Ships. 2025 13th International Conference on Information and Communication Networks (ICICN), Beijing, China, 2025, pp. 347-352.
5. 张浩,饶玉昆,刘涛,等.远洋船舶避台航线设计方案——以台风”杜苏芮”(2305)为例[J].海洋气象学报, 2023(4):32-39.